conftrace_

prompt optimization

190 papers

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Also known as

PO

Co-occurring keywords

large language model (13587) prompt engineering (1135) few-shot learning (3398) in-context learning (1405) reinforcement learning (4352) language model (4599) multi-agent system (1819) text-to-image generation (587) instruction tuning (838) text classification (6793)

Papers

MetaReflection: Learning Instructions for Language Agents using Past Reflections EMNLP 2024
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement EMNLP 2024
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling EMNLP 2024
GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models EMNLP 2024
PRewrite: Prompt Rewriting with Reinforcement Learning ACL 2024
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution EMNLP 2024
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization EMNLP 2024
Temporal Cognitive Tree: A Hierarchical Modeling Approach for Event Temporal Relation Extraction EMNLP 2024
StraGo: Harnessing Strategic Guidance for Prompt Optimization EMNLP 2024
Dual-Phase Accelerated Prompt Optimization EMNLP 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models NIPS 2024
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs EMNLP 2024
Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt Optimization NAACL 2024
Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back NAACL 2024
Dynamic Prompt Optimizing for Text-to-Image Generation CVPR 2024
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models CVPR 2024
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization NIPS 2024
Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling NIPS 2024
A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis AAAI 2024
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning AAAI 2024
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments EMNLP 2024
Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back SEMEVAL 2024
Prompt Optimization via Adversarial In-Context Learning ACL 2024
NICE: To Optimize In-Context Examples or Not? ACL 2024